Snowflake is special for several reasons. To begin with, its architecture separates storage and compute, making it fast, highly scalable, and efficient. Snowflake’s cloud-native, SaaS, and serverless approach also means you don’t have to worry about provisioning servers on-premises. Instead, you just need a Snowflake subscription; their team will handle the handy work on your behalf. At CloudZero, we use Snowflake for these and several more reasons.

We uncovered over $1.7 million of annualized cloud savings a few months ago. The key to getting here was understanding the whos, whats, and whys of our costs as they were. Well, that’s three things, but you get the idea. Now here’s the thing. The key to understanding your Amazon Web Services (AWS) costs is to know what you are paying for and why. To understand these two, you have first to understand what you’re paying, right?

As of 2024, 89% of organizations are using a multi-cloud strategy. Among the reasons for this shift are avoiding vendor lock-in and achieving scalability and cost-effectiveness. Yet, maximizing the value of investments in multi-cloud environments is a major challenge. That’s where multi-cloud FinOps solutions like Ternary come in — or, as you’ll see in this guide, where the top Ternary alternatives can take the lead.

Amazon Web Services (AWS) offers several native tools for reporting and cost optimization. Among them is AWS Budgets, a service that enables users to set spending and usage limits on their AWS resources. It also schedules reports with regular updates on actual or forecasted costs, ensuring users are informed of usage. However, AWS Budgets is a budgeting tool and has limitations when it comes to comprehensive AWS cost control.

Data overload. Poor decision-making. Inefficient processes. Limited real-time insights. These are just a few of the many challenges an organization would face without business intelligence (BI). Yet traditional BI has its own set of challenges, including complexity, cost, data diversity, and more. These limitations have led businesses to seek a more affordable and efficient solution — the cloud. This article explains cloud business intelligence (cloud BI), how it works, and its benefits.

We take our phones and tech devices everywhere — whether it’s on the train, at a coffee shop, or even in bed, we’re rarely far from them. In fact, 75% of Americans admit to using their phones even while on the toilet. With each new location, our devices pick up a mix of dust, dirt, and germs along the way. While the COVID-19 pandemic may have heightened our awareness of germs, are we paying enough attention to the bacteria that can gather on our everyday gadgets?

Data is in the digital age what oil was in the industrial age. Many organizations have noticed this and are now racing to find the most efficient, cost-effective, and robust platforms to help organize, store, and manage their data. Amazon RDS offers a robust cloud database solution, but like any service, it has limitations. In this guide, we’ll explain cloud database management, how Amazon RDS supports it, and why it might not meet all needs.

Data drives decisions forward. Every insight leads to action. A 2024 Gartner report revealed that organizations utilizing analytics and AI are better positioned to manage complexity, build trust in data, and empower their teams. This underscores the critical role of data intelligence. It involves collecting and analyzing data to uncover patterns and trends that help businesses take action. As a result, they can make informed decisions, optimize performance, and gain a competitive edge.

Microsoft Azure is the most popular cloud computing platform after Amazon Web Services (AWS). With over 200 services and resources available, there are plenty of ways to use Azure. This means the Azure public cloud allows hundreds, if not thousands, of unique configurations. This flexibility is ideal for tailoring Azure to your workload’s requirements but also makes cloud management more challenging.

A major problem led Amazon to introduce Cost Explorer and Cost and Usage Reports. Many Amazon Web Services (AWS) users were overspending on services they couldn’t quite identify. Before the two cloud financial management tools, the AWS public cloud was like a buffet menu without prices. Engineers could use as many cloud resources as possible (and then some), only to be hit with surprise bills at the end of the month or billing cycle.